Does the primary site really matter? Profiling mucinous ovarian cancers of uncertain primary origin (MO-CUP) to personalise treatment and inform the design of clinical trials

Rare Epithelial Ovarian Cancers: Low Grade Serous and Mucinous Carcinomas

The ovarian epithelial cancer histotypes can be divided into common and rare types. Common types include high-grade serous ovarian carcinomas and the endometriosis-associated cancers, endometrioid and clear-cell carcinomas. The less common histotypes are mucinous and low-grade serous, each comprising less than 10% of all epithelial carcinomas. Although histologically and epidemiologically distinct from each other, these histotypes share some genetic and natural history features that distinguish them from the more common types. In this review, we will consider the similarities and differences of these rare histological types, and the clinical challenges they pose.

Entrectinib use in a platinum-refractory mucinous ovarian cancer harboring a NTRK3 gene fusion

Ovarian cancer is difficult to treat, and the mucinous epithelial subtype has a particularly poor response to traditional chemotherapy regimens. Entrectinib is a tumor-agnostic tyrosine kinase inhibitor with limited data regarding its use in ovarian cancers, though it demonstrates significant tumor response and patient tolerability in other settings. Here we outline what we believe to be the first case in which Entrectinib was successfully utilized to treat a patient with mucinous ovarian cancer. A 51-year-old woman with stage IVB mucinous ovarian cancer possessing a KANK1-NTRK3 gene fusion experienced tumor progression and clinical deterioration with conventional chemotherapeutics. Upon initiation of Entrectinib treatment she experienced rapid clinical improvement, with significant partial response and sustained decrease in tumor markers.

Factors that contribute to the recurrence of mucinous ovarian cancer: Monocenter retrospective evaluation

Purpose

In this study, we aimed to put forth the factors that contribute to the recurrence of mucinous ovarian cancer.

Materials and Methods

Forty-four mucinous ovarian cancer patients who have presented to our clinic between February 2006 and May 2018 took part in the study. In order to predict the factors that contribute to recurrence, the univariate and the multivariate logistic regressions were utilized. The Kaplan-Meier survival analysis was utilized for survival and the log-rank test was used for the discrepancies between the groups. In the analysis of the data, the Statistical Package for the Social Sciences 22 program was used. It was acknowledged to have statistical meaning when the P value in all the tests was lower than 0.05.

Findings

Recurrence was detected in 20 out of 44 patients who participated in the study. The ages of the patients who did not experience recurrence were significantly lower ( P = 0.001). The patients were detected mostly in Stage 1 (36.4%). In the group of patients without recurrence, systemic lymphadenectomy (43.2%) was greater ( P = 0.019). Lymph node metastasis was three times higher in the group that experienced recurrence ( P = 0.047). When the two groups were compared, the platinum resistance was considerably greater in the group with recurrence ( P = 0.005). In terms of residual tumor, the rate of complete resection was (9%) better in the group that experienced recurrence compared to the group that did not experience recurrence, with a rate of 45.5%. While 12 patients who experienced recurrence died, 6 people died in the other group. From the factors that contribute to recurrence, in terms of residual tumor quantity, this was grouped as complete (R0) resection and optimal + suboptimal (R1 + R2) resection and the following were determined: odds ratio (OR) - 5.7 (95% confidence interval [CI]: 1.56-20.9) and P = 0.008 for R1 + R2. In univariate analysis, the OR was determined as 1.16 (95% CI: 1.06-1.27) for age. Possessing a Stage 2 and higher disease statistically contributed considerably to the recurrence compared to Stage 1 disease (OR: 6.33; 95% CI: 1.59-25.22; P = 0.009). Age was determined as an independent prognostic risk factor in the multivariate analysis (OR: 1.10 [95% CI: 1.04-1.25]), P = 0.018. Furthermore, the OR for the advanced-stage (Stage 2 or higher) patients in the multivariate analysis was determined as 7.88 (95% CI: 0.78-78.8) and was found to be statistically significant at limits ( P = 0.079).

Results

We have put forth that the genetic, biological, and clinical characteristics of mucinous ovarian cancers differ from that of other epithelial ovarian cancers, and that age, advanced stage, and residual tumor quantity are prognostic risk factors in terms of recurrence, and that age is an independent prognostic risk factor.

Conclusion

Biological and clinical characteristics of mucinous ovarian cancers differ from those of other epithelial ovarian cancers, and we observed that the age, advanced stage, and the amount of residual tumor regarding recurrence are prognostic risk factors, while age was determined as an independent prognostic risk factor.

Trefoil factor family proteins as potential diagnostic markers for mucinous invasive ovarian carcinoma

Introduction

Ovarian cancer (OC) is the leading cause of gynecological cancer-related death. Of the main OC histologic subtypes, invasive mucinous carcinomas (MC) account for only 3% of OC cases and are frequently associated with favorable prognosis. Nevertheless, MCs differ greatly from the other OC histotypes in clinical, pathological, and biological behavior. However, the origin and molecular pathogenesis of MC are not yet fully understood. Therefore, identification of novel diagnostic markers could potentially facilitate early diagnosis of OC, particularly the MC histotype, thereby leading to the development of histotype-specific treatment regimens and improved survival rates.

Methods

In the present study, Trefoil factor gene family members (TFF1, TFF2 and TFF3) were identified as MC histotype-specific biomarkers using RNA sequencing (RNA-seq) data for 95 stage I-II OCs. The diagnostic value of TFF1, TFF2 and TFF3 was then evaluated by immunohistochemistry on 206 stage I-II OCs stratified by histotype (high-grade serous carcinoma [HGSC], endometrioid carcinoma [EC], clear cell carcinoma [CCC], and MC).

Results

We showed significantly elevated intracytoplasmic protein expression levels for TFF1, TFF2 and TFF3 in MC samples, thereby revealing an association between expression of Trefoil factor gene family members and the MC histotype. Taken together, these findings suggest that the TFF proteins may play a pivotal role in tumor initiation and progression for the MC histotype.

Conclusion

Taken together, these findings suggest that the TFF proteins may play a pivotal role in tumor initiation and progression for the MC histotype. Moreover, these novel histotype-specific diagnostic biomarkers may not only improve patient stratification of early-stage ovarian carcinomas but may also be candidates for the development of molecular targeted therapies.

Profiling the immune landscape in mucinous ovarian carcinoma

OBJECTIVE

Mucinous ovarian carcinoma (MOC) is a rare histotype of ovarian cancer, with low response rates to standard chemotherapy, and very poor survival for patients diagnosed at advanced stage. There is a limited understanding of the MOC immune landscape, and consequently whether immune checkpoint inhibitors could be considered for a subset of patients.

METHODS

We performed multicolor immunohistochemistry (IHC) and immunofluorescence (IF) on tissue microarrays in a cohort of 126 MOC patients. Cell densities were calculated in the epithelial and stromal components for tumor-associated macrophages (CD68+/PD-L1+, CD68+/PD-L1-), T cells (CD3+/CD8-, CD3+/CD8+), putative T-regulatory cells (Tregs, FOXP3+), B cells (CD20+/CD79A+), plasma cells (CD20-/CD79a+), and PD-L1+ and PD-1+ cells, and compared these values with clinical factors. Univariate and multivariable Cox Proportional Hazards assessed overall survival. Unsupervised k-means clustering identified patient subsets with common patterns of immune cell infiltration.

RESULTS

Mean densities of PD1+ cells, PD-L1- macrophages, CD4+ and CD8+ T cells, and FOXP3+ Tregs were higher in the stroma compared to the epithelium. Tumors from advanced (Stage III/IV) MOC had greater epithelial infiltration of PD-L1- macrophages, and fewer PD-L1+ macrophages compared with Stage I/II cancers (p = 0.004 and p = 0.014 respectively). Patients with high epithelial density of FOXP3+ cells, CD8+/FOXP3+ cells, or PD-L1- macrophages, had poorer survival, and high epithelial CD79a + plasma cells conferred better survival, all upon univariate analysis only. Clustering showed that most MOC (86%) had an immune depleted (cold) phenotype, with only a small proportion (11/76,14%) considered immune inflamed (hot) based on T cell and PD-L1 infiltrates.

CONCLUSION

In summary, MOCs are mostly immunogenically 'cold', suggesting they may have limited response to current immunotherapies.

Gene-Expression Profiling of Mucinous Ovarian Tumors and Comparison with Upper and Lower Gastrointestinal Tumors Identifies Markers Associated with Adverse Outcomes

PURPOSE

Advanced-stage mucinous ovarian carcinoma (MOC) has poor chemotherapy response and prognosis and lacks biomarkers to aid stage I adjuvant treatment. Differentiating primary MOC from gastrointestinal (GI) metastases to the ovary is also challenging due to phenotypic similarities. Clinicopathologic and gene-expression data were analyzed to identify prognostic and diagnostic features.

EXPERIMENTAL DESIGN

Discovery analyses selected 19 genes with prognostic/diagnostic potential. Validation was performed through the Ovarian Tumor Tissue Analysis consortium and GI cancer biobanks comprising 604 patients with MOC (n = 333), mucinous borderline ovarian tumors (MBOT, n = 151), and upper GI (n = 65) and lower GI tumors (n = 55).

RESULTS

Infiltrative pattern of invasion was associated with decreased overall survival (OS) within 2 years from diagnosis, compared with expansile pattern in stage I MOC [hazard ratio (HR), 2.77; 95% confidence interval (CI), 1.04-7.41, P = 0.042]. Increased expression of THBS2 and TAGLN was associated with shorter OS in MOC patients (HR, 1.25; 95% CI, 1.04-1.51, P = 0.016) and (HR, 1.21; 95% CI, 1.01-1.45, P = 0.043), respectively. ERBB2 (HER2) amplification or high mRNA expression was evident in 64 of 243 (26%) of MOCs, but only 8 of 243 (3%) were also infiltrative (4/39, 10%) or stage III/IV (4/31, 13%).

CONCLUSIONS

An infiltrative growth pattern infers poor prognosis within 2 years from diagnosis and may help select stage I patients for adjuvant therapy. High expression of THBS2 and TAGLN in MOC confers an adverse prognosis and is upregulated in the infiltrative subtype, which warrants further investigation. Anti-HER2 therapy should be investigated in a subset of patients. MOC samples clustered with upper GI, yet markers to differentiate these entities remain elusive, suggesting similar underlying biology and shared treatment strategies.

A transcriptome-Based Deep Neural Network Classifier for Identifying the Site of Origin in Mucinous Cancer

Purpose:

There is a lack of tools for identifying the site of origin in mucinous cancer. This study aimed to evaluate the performance of a transcriptome-based classifier for identifying the site of origin in mucinous cancer.

Materials And Methods:

Transcriptomic data of 1878 non-mucinous and 82 mucinous cancer specimens, with 7 sites of origin, namely, the uterine cervix (CESC), colon (COAD), pancreas (PAAD), stomach (STAD), uterine endometrium (UCEC), uterine carcinosarcoma (UCS), and ovary (OV), obtained from The Cancer Genome Atlas, were used as the training and validation sets, respectively. Transcriptomic data of 14 mucinous cancer specimens from a tissue archive were used as the test set. For identifying the site of origin, a set of 100 differentially expressed genes for each site of origin was selected. After removing multiple iterations of the same gene, 427 genes were chosen, and their RNA expression profiles, at each site of origin, were used to train the deep neural network classifier. The performance of the classifier was estimated using the training, validation, and test sets.

Results:

The accuracy of the model in the training set was 0.998, while that in the validation set was 0.939 (77/82). In the test set which is newly sequenced from a tissue archive, the model showed an accuracy of 0.857 (12/14). t-SNE analysis revealed that samples in the test set were part of the clusters obtained for the training set.

Conclusion:

Although limited by small sample size, we showed that a transcriptome-based classifier could correctly identify the site of origin of mucinous cancer.

The role of molecular profiling in the diagnosis and management of metastatic undifferentiated cancer of unknown primary✰: Molecular profiling of metastatic cancer of unknown primary

Cancer of unknown primary (CUP) refers to metastatic tumors for which the primary tumor of origin cannot be determined at the time of diagnosis, despite extensive clinicopathologic investigations. Molecular profiling is increasingly able to predict a probable primary tumor type for CUP when clinicopathologic workup is inconclusive. Numerous studies have explored the use of various molecular profiling techniques for identification of site/tissue of origin of CUP. These techniques include gene expression profiling utilizing microarray, reverse transcriptase polymerase chain reaction, RNA-sequencing, somatic gene mutation profiling with next-generation DNA sequencing, and epigenomics including DNA methylation profiling. Despite the generally poor prognosis of CUP, a minority of patients can expect to benefit from targeted therapy despite being agnostic to the tissue of origin. Studies have explored the use of various molecular profiling techniques to predict prognostic and therapeutic biomarkers, with the goal of improving outcome for patients with CUP. However, discordant results between non-randomized and randomized clinical trials in evaluating tumor-type specific therapies raise uncertainties of the benefits of molecularly-predicted tissue of origin-based treatment in routine clinical use. Nevertheless, the current overall trend is in favor of using molecular tools to refine the diagnosis and clinical management of patients with CUP. More large-cohort, randomized prospective studies are needed to assess and validate the utility and feasibility of molecular profiling to uncover potentially targetable genetic alterations. These efforts will also yield further biological insights into the biology and pathogenesis of CUP (Graphical Abstract).

Bioinformatics analysis shows that TOP2A functions as a key candidate gene in the progression of cervical cancer

Cervical cancer (CC) is one of the most prevalent types of cancer affecting females worldwide. However, the molecular mechanisms underlying the development and progression of CC remains to be elucidated. Taking the high incidence and mortality rates amongst women into consideration, the identification of novel biomarkers to prevent CC is of great significance and required to improve diagnosis. Using three raw microarray datasets from the Gene Expression Omnibus database, 188 differentially expressed genes (DEGs) were identified. Gene Ontology and pathway analyses were performed on the DEGs. Through protein-protein interaction network construction and module analysis, eight hub genes [cell division cycle 6, cyclin-dependent kinase 1 (CDK1), cell division control protein 45, budding uninhibited by benzimidazoles 1 (BUB1), DNA topoisomerase II α (TOP2A) and minichromosome maintenance complex component 4, CCNB2 and CCNB1] were identified, but only TOP2A was considered a prognostic factor in survival analysis. There were strong positive correlations between TOP2A and BUB1 (P<0.0001, rs=0.635), CDK1 (P<0.0001, rs=0.511), centromere protein F (CENPF) (P<0.0001, rs=0.677), Rac GTPase activating protein 1 (RACGAP1) (P<0.0001, rs=0.612), F-box protein 5 (FBXO5) (P<0.0001, rs=0.585) and BUB1 mitotic checkpoint serine/threonine kinase B (BUB1B) (P<0.0001, rs=0.584). Additionally, BUB1, CDK1, CENPF, RACGAP1, FBXO5 and BUB1B are all potentially suitable candidate targets for the diagnosis and treatment of CC. In conclusion, the present study identified TOP2A as a potential tumor oncogene and a biomarker for the prognosis of CC.

Advanced stage primary mucinous ovarian carcinoma. Where do we stand ?

OBJECTIVE

To evaluate factors associated with survival of patients with advanced stage mucinous ovarian carcinoma (MOC) using a large multi-institutional database.

METHODS

Patients diagnosed between 2004 and 2014 with advanced stage (III-IV) MOC were identified within the National Cancer Database. Those without a personal history of another primary tumor who received cancer-directed surgery with a curative intent were selected for further analysis. Overall survival (OS) was evaluated with Kaplan-Meier curves, and compared with the log-rank test. Multivariate Cox analysis was performed to identify independent predictors of survival.

RESULTS

A total of 1509 patients with a median age of 59 years (IQR 20) met the inclusion criteria: stage III (n = 1045, 69.3%) and stage IV disease (n = 464, 30.7%). Patients who received chemotherapy (n = 1065, 70.6%) had better OS compared to those who did not (n = 385, 25.5%), (median OS 15.44 vs 5.06 months, p < 0.001). The type of reporting facility (p = 0.65) and the year of diagnosis (p = 0.27) were not associated with OS. Presence of residual disease was strongly associated with OS (p < 0.001). After controlling for confounders, the administration of chemotherapy (HR 0.63, 95% CI 0.55, 0.72) was associated with better survival.

CONCLUSION

Advanced stage MOC has an extremely poor prognosis. Patients who received chemotherapy had a small improvement in survival. Every effort to achieve complete gross resection should be performed. Given no improvement in survival outcomes over time, there is an eminent need for novel treatment options.

A combination of the immunohistochemical markers CK7 and SATB2 is highly sensitive and specific for distinguishing primary ovarian mucinous tumors from colorectal and appendiceal metastases

Primary ovarian mucinous tumors can be difficult to distinguish from metastatic gastrointestinal neoplasms by histology alone. The expected immunoprofile of a suspected metastatic lower gastrointestinal tumor is CK7-/CK20+/CDX2+/PAX8-. This study assesses the addition of a novel marker SATB2, to improve the diagnostic algorithm. A test cohort included 155 ovarian mucinous tumors (105 carcinomas and 50 borderline tumors) and 230 primary lower gastrointestinal neoplasms (123 colorectal adenocarcinomas and 107 appendiceal neoplasms). All cases were assessed for SATB2, PAX8 CK7, CK20, and CDX2 expression on tissue microarrays. Expression was scored in a 3-tier system as absent, focal (1-50% of tumor cells) and diffuse ( >50% of tumor cells) and then categorized into either absent/present or nondiffuse/diffuse. SATB2 and PAX8 expression was further evaluated in ovarian tumors from an international cohort of 2876 patients (expansion cohort, including 159 mucinous carcinomas and 46 borderline mucinous tumors). The highest accuracy of an individual marker in distinguishing lower gastrointestinal from ovarian mucinous tumors was CK7 (91.7%, nondiffuse/diffuse cut-off) followed by SATB2 (88.8%, present/absent cut-off). The most effective combination was CK7 and SATB2 with accuracy of 95.3% using the 3-tier interpretation, absent/focal/diffuse. This combination outperformed the standard clinical set of CK7, CK20 and CDX2 (87.5%). Re-evaluation of outlier cases confirmed ovarian origin for all but one case. The accuracy of SATB2 was confirmed in the expansion cohort (91.5%). SATB2 expression was also detected in 15% of ovarian endometrioid carcinoma but less than 5% of other ovarian histotypes. A simple two marker combination of CK7 and SATB2 can distinguish lower gastrointestinal from ovarian primary mucinous tumors with greater than 95% accuracy. PAX8 and CDX2 have value as second-line markers. The utility of CK20 in this setting is low and this warrants replacement of this marker with SATB2 in clinical practice.

The molecular origin and taxonomy of mucinous ovarian carcinoma

Mucinous ovarian carcinoma (MOC) is a unique subtype of ovarian cancer with an uncertain etiology, including whether it genuinely arises at the ovary or is metastatic disease from other organs. In addition, the molecular drivers of invasive progression, high-grade and metastatic disease are poorly defined. We perform genetic analysis of MOC across all histological grades, including benign and borderline mucinous ovarian tumors, and compare these to tumors from other potential extra-ovarian sites of origin. Here we show that MOC is distinct from tumors from other sites and supports a progressive model of evolution from borderline precursors to high-grade invasive MOC. Key drivers of progression identified are TP53 mutation and copy number aberrations, including a notable amplicon on 9p13. High copy number aberration burden is associated with worse prognosis in MOC. Our data conclusively demonstrate that MOC arise from benign and borderline precursors at the ovary and are not extra-ovarian metastases.

A descriptive report of outcomes of primary mucinous ovarian cancer patients receiving either an adjuvant gynecologic or gastrointestinal chemotherapy regimen

OBJECTIVE

We described progression-free survival and overall survival in patients with primary mucinous ovarian cancer receiving adjuvant gynecologic versus gastrointestinal chemotherapy regimens.

METHODS

We identified all primary mucinous ovarian cancer patients receiving adjuvant gynecologic or gastrointestinal chemotherapy regimens at a single institution from 1994 to 2016. Gynecologic pathologists using strict pathologic/clinical criteria determined diagnosis. Adjuvant therapy was coded as gynecologic or gastrointestinal based on standard agents and schedules. Clinical/pathologic/treatment characteristics were recorded. Wilcoxon rank-sum test was used for continuous variables, and Fisher's exact test for categorical variables. Progression-free and overall survival were calculated using the Kaplan-Meier method, applying landmark analysis.

RESULTS

Of 62 patients identified, 21 received adjuvant chemotherapy: 12 gynecologic, 9 gastrointestinal. Median age (in years) at diagnosis: 58 (range 25-68) gynecologic cohort, 38 (range 32-68) gastrointestinal cohort (p=0.13). Median body mass index at first post-operative visit: 25 kg/m2 (range 18-31) gynecologic cohort, 23 kg/m2 (range 18-31) gastrointestinal cohort (p=0.23). History of smoking: 6/12 (50%) gynecologic cohort, 3/9 (33%) gastrointestinal cohort (p=0.66). Stage distribution in gynecologic and gastrointestinal cohorts, respectively: stage I: 9/12 (75%) and 3/9 (33%); stage II: 2/12 (17%) and 1/9 (11%); stage III: 1/12 (8%) and 5/9 (56%) (p=0.06). Grade distribution in gynecologic and gastrointestinal cohorts, respectively: grade 1: 8/12 (67%) and 1/9 (13%); grade 2/3: 4/12 (33%) and 7/9 (88%) (p=0.03). Three-year progression-free survival: 90.9% (95% CI 50.8% to 98.7 %) gynecologic, 53.3% (95% CI 17.7% to 79.6%) gastrointestinal. Three-year overall survival: 90.9% (95% CI 50.8% to 98.7%) gynecologic, 76.2% (95% CI 33.2% to 93.5%) gastrointestinal.

CONCLUSION

Ongoing international collaborative research may further define associations between chemotherapy regimens and survival.